The extend version and all codes of the paper, Distributed Semantic Trajectory Similarity Search.
For a better view of the complete version of the paper, please download the pdf at DSTSS-complete-version.
This folder (i.e., ./at2vec, ./dist-bfjoin-maven, ./hnsw-spatial) holds the source codes in our paper, Distributed Semantic Trajectory Similarity Search.
- Spark version: 3.1.1
- A cluster containing 6 nodes, where each node is equipped with two 12-core processors (Intel Xeon E-5-2620 v3 2.40 GHz), 64GB RAM
- System version: Ubuntu 14.04.3 LTS
- Java version: 1.8.0
- Please refer to the source code to install all required packages of libs by Maven.
- "./TrajectorySimCal/src/main/resources/test_data.txt" contains one of the tested datasets (TDrive)
- The format of the tested dataset is:
Moving object ID, point ID, location of x, location of y, SR vector of
$v_1$ , SA vector of$v_2$
Note: The synthetic dataset (Brinkhoff) can refer to http://iapg.jade-hs.de/personen/brinkhoff/generator/
- Select one of the three projects (./at2vec, ./dist-bfjoin-maven, ./hnsw-spatial);
- Import the selected project to Intellij IDEA；
- Downloading all required dependences by Maven;
- Initial the configuration file (“./PROJECT_NAME/src/main/resources/pom.xml");
- Package the project to a X.jar, where X is your project name；
- Load the packaged X.jar to the master node of your Spark cluster；
- Running your project in a cluster environment.